Overview
Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers further. This is a world of more possibilities, more innovation, more openness, and the sky is the limit of thinking in a cloud-enabled world.
The HR Employee Experience Engineering team builds, runs, and continuously improves the mission of critical products and services that power Microsoft’s internal workforce. We turn bold ideas into transformational solutions that make Microsoft teams work smarter, faster, and more securely every single day.
A core pillar of our mission is artificial intelligence (AI) enabled empowerment: we embed intelligent automation, large language model (LLM) driven assistants, and predictive analytics into every product to surface the right information at the right time, streamline routine tasks, and uncover insights that help employees thrive.
Our engineers bring deep technical expertise, strong business acumen, and firsthand experience at massive scale. We are technology leaders, digital transformation agents, and passionate customer advocates who love solving real world problems for both Microsoft and our external partners.
Responsibilities
- Design and build high‑quality systems by leading architecture and design discussions, ensuring scalability, reliability, compliance, and performance.
- Independently use AI tools across the software development lifecycle responsibly and improve processes leveraging AI.
- Apply strong engineering practices in coding, reviews, and testing, with a focus on security, maintainability, and performance.
- Collaborate with internal and external teams to identify dependencies and reach common goals.
- Write code that is extensible, maintainable, well-tested, secure, and performant.
- Implement security standards to raise security hardening across solutions, ensuring each layer is independently secure.
- Drive test strategy and automation, including AI‑assisted testing, security testing, and validation across pre‑production and production.
- Ensure secure and compliant delivery by implementing security invariants and meeting privacy, safety, accessibility, and audit requirements.
- Own deployment and release excellence, using safe deployment frameworks, automation, rollback strategies, and zero‑touch deployment goals.
- Operate and improve live‑site reliability by acting as the directly responsible individual (DRI), managing incidents, improving on‑call processes, and leading postmortems.
- Leverage telemetry and experimentation through logging, monitoring, feature flags, and metrics to validate assumptions and guide decisions.
Qualifications
Required Qualifications
- Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
Preferred Qualifications
- Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
- 5+ years of experience architecting and building solutions on Azure or comparable cloud platforms.
- 5+ years of experience in design, developing and implementing Power Platform module D365 Customer Service, which meets the business requirements of the organization.
- 4+ years of experience designing, building, and managing high‑scale full‑stack systems, including authentication, microservices, distributed systems, data and analytics workloads, and AI training and inferencing services.
- 1+ year of experience with AI‑driven, cloud‑based architectural patterns.
- 1+ year of experience using AI‑assisted development tools to improve productivity, including building agents with Microsoft Copilot and Agent Framework.
- Foundational knowledge of Business Rules, workflows and Provisioning configurations.
- Software development experience across Microsoft Copilot, Agent Framework, web and API development, UX technologies, and NoSQL databases.
- Knowledge of modern Agentic AI patterns and practices.
- Ability to work effectively with partner teams across organizations.
Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about **requesting accommodations.**